100+ datasets found
  1. Coronavirus COVID-19 Global Cases

    • redivis.com
    application/jsonl +7
    Updated Jul 13, 2020
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    Stanford Center for Population Health Sciences (2020). Coronavirus COVID-19 Global Cases [Dataset]. http://doi.org/10.57761/pyf5-4e40
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    sas, csv, application/jsonl, spss, stata, parquet, arrow, avroAvailable download formats
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 22, 2020 - Jul 12, 2020
    Description

    Abstract

    JHU Coronavirus COVID-19 Global Cases, by country

    Documentation

    PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

    This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

    Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    Section 2

    Included Data Sources are:

    %3C!-- --%3E

    Section 3

    **Terms of Use: **

    This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

    Section 4

    **U.S. county-level characteristics relevant to COVID-19 **

    Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

    https://github.com/mkiang/county_preparedness/

  2. e

    Cases country

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Cases country [Dataset]. https://coronavirus-resources.esri.com/datasets/1cb306b5331945548745a5ccd290188e
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  3. H

    World COVID-19 Daily Cases with Basemap

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 20, 2024
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    Spatial Data Lab (2024). World COVID-19 Daily Cases with Basemap [Dataset]. http://doi.org/10.7910/DVN/L20LOT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Spatial Data Lab
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World
    Dataset funded by
    NSF
    Description

    Updated to May 13, 2021. World COVID-19 daily cases with basemap, starting from January 22, 2020.

  4. C

    China CN: COVID-19: No of Death: Hubei: True Up

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: No of Death: Hubei: True Up [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-death/cn-covid19-no-of-death-hubei-true-up
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 13, 2020 - Apr 16, 2020
    Area covered
    China
    Description

    COVID-19: Number of Death: Hubei: True Up data was reported at 1,290.000 Person in 16 Apr 2020. This records an increase from the previous number of 1.000 Person for 05 Apr 2020. COVID-19: Number of Death: Hubei: True Up data is updated daily, averaging 1.000 Person from Feb 2020 (Median) to 16 Apr 2020, with 3 observations. The data reached an all-time high of 1,290.000 Person in 16 Apr 2020 and a record low of -108.000 Person in 13 Feb 2020. COVID-19: Number of Death: Hubei: True Up data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Death.

  5. f

    COVID-19 Case Reports in China

    • figshare.com
    txt
    Updated Jan 29, 2022
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    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu (2022). COVID-19 Case Reports in China [Dataset]. http://doi.org/10.6084/m9.figshare.12656165.v35
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    txtAvailable download formats
    Dataset updated
    Jan 29, 2022
    Dataset provided by
    figshare
    Authors
    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Chinese prefectural level governments started to report daily confirmed COVID-19 cases online, starting from January 2020. The disclosures may contain the mobility, potential exposure scenario, epidemiological characteristics, and other useful information of individual cases. We organized a group of content coders since early March 2020, kept monitoring the information updates, manually extracted useful information from the public disclosures, and compiled these datasets.We welcome any form of collaborations with us and non-commercial reuse of our dataset. We highly encourage interested parties to examine the data, report errors in our coding, and help us to keep the data updated.The detailed data description can be found on SSRN preprint server https://dx.doi.org/10.2139/ssrn.3705815.

  6. Confirmed, death and recovery cases of COVID-19 in Greater China 2022, by...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Confirmed, death and recovery cases of COVID-19 in Greater China 2022, by region [Dataset]. https://www.statista.com/statistics/1090007/china-confirmed-and-suspected-wuhan-coronavirus-cases-region/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The new SARS-like coronavirus has spread around China since its outbreak in Wuhan - the capital of central China’s Hubei province. As of June 7, 2022, there were 2,785,848 active cases with symptoms in Greater China. The pandemic has caused a significant impact in the country's economy.

    Fast-moving epidemic

    In Wuhan, over 3.8 thousand deaths were registered in the heart of the outbreak. The total infection number surged on February 12, 2020 in Hubei province. After a change in official methodology for diagnosing and counting cases, thousands of new cases were added to the total figure. There is little knowledge about how the virus that originated from animals transferred to humans. While human-to-human transmission has been confirmed, other transmission routes through aerosol and fecal-oral are also possible. The deaths from the current virus COVID-19 (formally known as 2019-nCoV) has surpassed the toll from the SARS epidemic of 2002 and 2003.

    Key moments in the Chinese coronavirus timeline

    The doctor in Wuhan, Dr. Li Wenliang, who first warned about the new strain of coronavirus was silenced by the police. It was announced on February 7, 2020 that he died from the effects of the coronavirus infection. His death triggered a national backlash over freedom of speech on Chinese social media. On March 18, 2020, the Chinese government reported no new domestically transmissions for the first time after a series of quarantine and social distancing measures had been implemented. On March 31, 2020, the National Health Commission (NHC) in China started reporting the infection number of symptom-free individuals who tested positive for coronavirus. Before that, asymptomatic cases had not been included in the Chinese official count. China lifted ten-week lockdown on Wuhan on April 8, 2020. Daily life was returning slowly back to normal in the country. On April 17, 2020, health authorities in Wuhan revised its death toll, adding some 1,290 fatalities in its total count.

  7. COVID-19 confirmed and death case development in China 2020-2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). COVID-19 confirmed and death case development in China 2020-2022 [Dataset]. https://www.statista.com/statistics/1092918/china-wuhan-coronavirus-2019ncov-confirmed-and-deceased-number/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 20, 2020 - Jun 6, 2022
    Area covered
    China
    Description

    As of June 6, 2022, the novel coronavirus SARS-CoV-2 that originated in Wuhan, the capital of Hubei province in China, had infected over 2.1 million people and killed 14,612 in the country. Hong Kong is currently the region with the highest active cases in China.

    From Wuhan to the rest of China

    In late December 2019, health authorities in Wuhan detected several pneumonia cases of unknown cause. Most of these patients had links to the Huanan Seafood Market. With Chinese New Year approaching, millions of Chinese migrant workers travelled back to their hometowns for the celebration. Before the start of the travel ban on January 23, around five million people had left Wuhan. By the end of January, the number of infections had surged to over ten thousand. The death toll from the virus exceeded that of the SARS outbreak a few days later. On February 12, thousands more cases were confirmed in Wuhan after an improvement to the diagnosis method, resulting in another sudden surge of confirmed cases. On March 31, 2020, the National Health Commission (NHC) in China announced that it would begin reporting the infection number of symptom-free individuals who tested positive for coronavirus. On April 17, 2020, health authorities in Wuhan revised its death toll, adding 50 percent more fatalities. After quarantine measures were implemented, the country reported no new local coronavirus COVID-19 transmissions for the first time on March 18, 2020.

    The overloaded healthcare system

    In Wuhan, 28 hospitals were designated to treat coronavirus patients, but the outbreak continued to test China’s disease control system and most of the hospitals were soon fully occupied. To combat the virus, the government announced plans to build a new hospital swiftly. On February 3, 2020, Huoshenshan Hospital was opened to provide an additional 1,300 beds. Due to an extreme shortage of health-care professionals in Wuhan, thousands of medical staff from all over China came voluntarily to the epicenter to offer their support. After no new deaths reported for first time, China lifted ten-week lockdown on Wuhan on April 8, 2020. Daily life was returning slowly back to normal in the country.

  8. C

    China CN: COVID-19: Confirmed Case: New Increase

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: Confirmed Case: New Increase [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case-new-increase
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 29, 2020 - May 10, 2020
    Area covered
    China
    Description

    China COVID-19: Confirmed Case: New Increase data was reported at 17.000 Person in 10 May 2020. This records an increase from the previous number of 14.000 Person for 09 May 2020. China COVID-19: Confirmed Case: New Increase data is updated daily, averaging 51.000 Person from Jan 2020 (Median) to 10 May 2020, with 112 observations. The data reached an all-time high of 15,152.000 Person in 12 Feb 2020 and a record low of 1.000 Person in 08 May 2020. China COVID-19: Confirmed Case: New Increase data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Patient.

  9. Change in fresh e-commerce ordering frequency before and after COVID-19 in...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Change in fresh e-commerce ordering frequency before and after COVID-19 in China 2020 [Dataset]. https://www.statista.com/statistics/1133144/china-covid-19-impact-on-fresh-e-commerce-purchasing-frequency/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    According to a survey among Chinese e-commerce consumers, the share of respondents who ordered twice or three times a week from fresh e-commerce platforms increased from **** percent to **** percent after the COVID-19 outbreak. Meanwhile, during the COVID-19 outbreak, ** percent of the respondents said they purchased fresh goods more than four times a week online.

  10. China CN: COVID-19: Confirmed Case

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: COVID-19: Confirmed Case [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 28, 2022 - Jan 8, 2023
    Area covered
    China
    Description

    China COVID-19: Confirmed Case data was reported at 118,147.000 Person in 08 Jan 2023. This records an increase from the previous number of 104,874.000 Person for 07 Jan 2023. China COVID-19: Confirmed Case data is updated daily, averaging 978.500 Person from Feb 2020 (Median) to 08 Jan 2023, with 1068 observations. The data reached an all-time high of 118,147.000 Person in 08 Jan 2023 and a record low of 55.000 Person in 09 Jun 2020. China COVID-19: Confirmed Case data remains active status in CEIC and is reported by National Health Commission. The data is categorized under High Frequency Database’s Disease Outbreaks – Table CN.GZ: COVID-19: No of Patient.

  11. T

    China Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/china/coronavirus-recovered
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2019 - Dec 15, 2021
    Area covered
    China
    Description

    China recorded 86689 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, China reported 4636 Coronavirus Deaths. This dataset includes a chart with historical data for China Coronavirus Recovered.

  12. COVID-19 Vaccination Survey, July 2021 - China

    • microdata.unhcr.org
    Updated Oct 3, 2021
    + more versions
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    UNHCR (2021). COVID-19 Vaccination Survey, July 2021 - China [Dataset]. https://microdata.unhcr.org/index.php/catalog/518
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    Dataset updated
    Oct 3, 2021
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2021
    Area covered
    China
    Description

    Abstract

    The COVID-19 Vaccination Survey in China was conducted in July 2021 to understand refugees' accessibility and willingness to receive a COVID-19 vaccination in China. UNHCR stresses that no one can be left behind in the global effort against COVID-19 and is monitoring the inclusion of refugees and asylum seekers in vaccination plans around the world. At the time, Chinese government policy did not provide free vaccines for foreigners without social security. The survey results however show that this policy was implemented with some flexibility, because among the few that were vaccinated already, more than half received a free COVID-19 vaccine. Some refugees reported difficulties or lack of information about vaccine registration or identity documents to book an appointment. Results further show that even though most are willing to get vaccinated, anti-vaccine sentiments are driven by fear of side effects.

    Geographic coverage

    The survey covers 24 provinces with most respondents residing in the province of Guangdong.

    Analysis unit

    Households

    Universe

    The survey was distributed to all 1017 refugees and asylum seekers.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    No sampling was implmented.

    Mode of data collection

    Self-administered questionnaire: Web-based

    Response rate

    Out of 1017 distributed surveys, UNHCR received 455 answers (45%). Of those, 30 respondents did not provide consent to participate in the survey.

  13. y

    China Coronavirus Full Vaccination Rate

    • ycharts.com
    html
    Updated Feb 13, 2023
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    Our World in Data (2023). China Coronavirus Full Vaccination Rate [Dataset]. https://ycharts.com/indicators/china_coronavirus_full_vaccination_rate
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 13, 2023
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jun 10, 2021 - Feb 9, 2023
    Area covered
    China
    Variables measured
    China Coronavirus Full Vaccination Rate
    Description

    View daily updates and historical trends for China Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts analytic…

  14. China leading food & drink app download change due to COVID-19 2020

    • statista.com
    Updated Feb 21, 2022
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    Statista (2022). China leading food & drink app download change due to COVID-19 2020 [Dataset]. https://www.statista.com/statistics/1105929/download-rate-food-drink-app-china-coronavirus/
    Explore at:
    Dataset updated
    Feb 21, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    Among the most downloaded food & drink apps, grocery delivery apps in China experienced the largest increase in downloads due to the coronavirus epidemic in China in early 2020. In the week of February 3, when the epidemic was at its height, grocery delivery app downloads made up for more than half of the top 10 food & drink app downloads, in comparison to just 33 percent in the week of January 13 before the outbreak. Food delivery and recipe apps also saw considerable gain in the number of downloads, as people were mostly confined at home and had to come up with ways to feed their stomach.

  15. C

    China CN: COVID-19: Vaccinated People: Booster Shots: To-Date

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: COVID-19: Vaccinated People: Booster Shots: To-Date [Dataset]. https://www.ceicdata.com/en/china/covid19-vaccination/cn-covid19-vaccinated-people-booster-shots-todate
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 12, 2022 - Mar 2, 2023
    Area covered
    China
    Variables measured
    Indicator
    Description

    China COVID-19: Vaccinated People: Booster Shots: To-Date data was reported at 827.904 Person mn in 27 Apr 2023. This records an increase from the previous number of 827.839 Person mn for 20 Apr 2023. China COVID-19: Vaccinated People: Booster Shots: To-Date data is updated daily, averaging 793.279 Person mn from Nov 2021 (Median) to 27 Apr 2023, with 51 observations. The data reached an all-time high of 827.904 Person mn in 27 Apr 2023 and a record low of 37.973 Person mn in 05 Nov 2021. China COVID-19: Vaccinated People: Booster Shots: To-Date data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: Vaccination.

  16. Consumption desire after COVID-19 outbreak in China 2020, by selected...

    • statista.com
    Updated Jul 9, 2025
    + more versions
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    Statista (2025). Consumption desire after COVID-19 outbreak in China 2020, by selected category [Dataset]. https://www.statista.com/statistics/1101978/china-intention-to-increase-consumption-after-the-coronavirus-covid19-outbreak/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 11, 2020 - Feb 17, 2020
    Area covered
    China
    Description

    The new coronavirus (2019-nCoV or COVID-19) outbreak would probably change the consumption habits in China. According to a survey on the virus impact on Chinese consumers released in February 2020, almost ** percent of the respondents said that they intended to spend more money on medical treatment after the epidemic. About **** percent of the respondents planned to buy more sports products.

  17. Shopping habit changes due to COVID-19 in China 2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Shopping habit changes due to COVID-19 in China 2020 [Dataset]. https://www.statista.com/statistics/1235615/china-change-in-shopping-behavior-due-to-covid-19/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 17, 2020 - Aug 21, 2020
    Area covered
    China
    Description

    According to a survey in China in August 2020, around ** percent of respondents confirmed that they are more inclined to buy sustainably sourced products after the COVID-19 pandemic. Meanwhile, around ** percent of respondent said they are also more likely to buy local products since the coronavirus outbreak.

  18. Duration change of TV news consumption in coronavirus outbreak in China...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Duration change of TV news consumption in coronavirus outbreak in China 2019-2020 [Dataset]. https://www.statista.com/statistics/1108091/china-tv-news-viewing-duration-in-coronavirus-covid19-outbreak-period/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2019 - Mar 15, 2020
    Area covered
    China
    Description

    Over the first eleven weeks of 2020, Chinese consumers spent a total of ***** minutes on average watching TV news, indicating nearly a double amount of time compared to that in the equivalent period of the previous year. To curb the spread of coronavirus COVID-19, the Chinese government imposed a lockdown in the epicenter Wuhan city from late January, 2020, and later expanded the measure across the country. Most of the Chinese people relied on national TV channels to receive the most updated epidemic information.

  19. JHU COVID-19 Cases

    • mea-covid-19-esridubaioffice.hub.arcgis.com
    Updated Apr 2, 2020
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    Esri Inc. Office in Dubai (2020). JHU COVID-19 Cases [Dataset]. https://mea-covid-19-esridubaioffice.hub.arcgis.com/datasets/jhu-covid-19-cases
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    Dataset updated
    Apr 2, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Inc. Office in Dubai
    Area covered
    Description

    This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, the US, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals). Data sources are WHO, US CDC, China NHC, ECDC, and DXY. The China data is automatically updating at least once per hour, and non China data is updating manually. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  20. COVID-19 impact on consumption during Spring Festival in China 2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). COVID-19 impact on consumption during Spring Festival in China 2020 [Dataset]. https://www.statista.com/statistics/1129951/china-coronavirus-covid-19-influence-on-consumption-during-chinese-new-year/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    A survey about COVID-19 impact on consumer behavior in China revealed that ** percent of respondents consumed much less or somewhat less during the Spring Festival of 2020 compared to the previous year. The change in consumer behavior was largely affected by the coronavirus epidemic in the country.

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Stanford Center for Population Health Sciences (2020). Coronavirus COVID-19 Global Cases [Dataset]. http://doi.org/10.57761/pyf5-4e40
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Coronavirus COVID-19 Global Cases

Explore at:
sas, csv, application/jsonl, spss, stata, parquet, arrow, avroAvailable download formats
Dataset updated
Jul 13, 2020
Dataset provided by
Redivis Inc.
Authors
Stanford Center for Population Health Sciences
Time period covered
Jan 22, 2020 - Jul 12, 2020
Description

Abstract

JHU Coronavirus COVID-19 Global Cases, by country

Documentation

PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Section 2

Included Data Sources are:

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Section 3

**Terms of Use: **

This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

Section 4

**U.S. county-level characteristics relevant to COVID-19 **

Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

https://github.com/mkiang/county_preparedness/

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